Mutations are acquired frequently, such that each cell's genome inscribes its history of cell
divisions. Common genomic alterations involve loss of heterozygosity (LOH). LOH …

Elucidating the lineage relationships among different cell types is key to understanding
human brain development. Here we developed parallel RNA and DNA analysis after deep …

Accurate identification of cell classes across the tissues of living organisms is central in the
analysis of growing atlases of single-cell RNA sequencing (scRNA-seq) data across …

Highlights•Single-cell RNA sequencing revolutionizes systematic classification of neurons.•
Classification by scRNA-seq reveals new neuronal subtypes.•Matching transcriptionally and …

Single-cell mRNA sequencing (scRNA-seq) is a powerful method to identify and classify cell
types and reconstruct differentiation trajectories within complex tissues, such as the …

The stochastic dynamics and regulatory mechanisms that govern differentiation of individual
human neural precursor cells (NPC) into mature neurons are currently not fully understood …

Recent advances in single-cell RNA-sequencing technology have enabled us to
characterize a variety of different cell types in each brain region. However, the evolutionary …

Modern RNA sequencing methods have greatly increased our understanding of the
molecular fingerprint of neurons, astrocytes and oligodendrocytes throughout the central …

Cellular reprogramming is driven by a defined set of transcription factors; however, the
regulatory logic that underlies cell-type specification and diversification remains elusive …

A comprehensive characterization of epigenomic organization in the embryonic mouse
forebrain will enhance our understanding of neurodevelopment and provide insight into …